Python Developer

3 years

0 Lacs

Posted:3 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

About the Role

Python Developer

Key Responsibilities

  • Collaborate with AI Engineers for

    local and cloud-based deployment

    of AI models.
  • Build and maintain

    scalable AI Application

    using Python frameworks (

    FastAPI, Flask, Django

    ).
  • Manage

    databases (SQL & NoSQL)

    for high-performance data processing.
  • Implement

    multi-threading, multiprocessing, and Celery-based task management

    .
  • Containerize applications with

    Docker

    and manage deployments in

    Ubuntu/Linux environments

    .
  • Integrate with

    third-party tools

    such as

    Google Calendar, Microsoft Calendar, and task management systems

    .
  • Enable

    real-time voice, text, and video streaming

    through tools like

    LiveKit, Twilio

    , and

    WebSockets

    .
  • Support

    frontend integration

    for complete end-to-end AI solutions.
  • Ensure deployments are

    production-ready

    with CI/CD, logging, monitoring, and testing.

Required Skills & Qualifications

  • 2–3 years of professional experience as a

    Python Developer

    .
  • Strong proficiency in

    Python frameworks

    : FastAPI, Flask, Django.
  • Hands-on experience with

    Docker

    for containerization and deployment.
  • Proficiency in

    task queues

    and

    asynchronous job handling

    using

    Celery

    .
  • Solid understanding of

    multi-threading

    and

    multi-processing

    concepts.
  • Experience with

    databases

    (PostgreSQL, MySQL, MongoDB, etc.).
  • Knowledge of

    Ubuntu/Linux commands

    and system-level scripting.
  • Strong grasp of

    microservices architecture

    and REST APIs.
  • Experience with

    real-time communication tools

    : WebSockets, LiveKit, Twilio.
  • Ability to integrate with

    third-party APIs

    (Google Calendar, Microsoft Calendar, To-Do list tools).
  • Familiarity with

    cloud platforms

    (AWS, Azure, GCP) for scalable deployments.


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